Evidence map›Paper›PMID 35561886›Full record

ArticleJournal of affective disorders2022

Construct validity and factor structure of the K-10 among Ugandan adults.

Molly Naisanga, Amantia Ametaj, Hannah H Kim, Carter Newman, Rocky Stroud, Bizu Gelaye, Dickens Akena

Abstract read
In one paragraph

Article in Journal of affective disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Psychological distress and PTSD among clinicians in Roma, Lesotho during the COVID-19 pandemic.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Molly NaisangaDepartment of Psychiatry, Makerere University, Kampala, Uganda. Electronic address: naisangamolly@gmail.com.
Amantia AmetajDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Hannah H KimDepartment of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Carter NewmanDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Rocky StroudDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Bizu GelayeDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA; The Chester M. Pierce, MD Division of Global Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Dickens AkenaDepartment of Psychiatry, Makerere University, Kampala, Uganda.

Funding

Training Program in Psychiatric Genetics and Translational ResearchT32MH017119 · NIMH · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI KARESTAN C KOENEN, Jukka-Pekka Onnela · 1985 to 2026
$8.9M
2/4 Powering Genetic Discovery for Severe Mental Illness in Latin American and African AncestriesU01MH125045 · NIMH · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI KOENEN, KARESTAN C · 2020 to 2024
$3.1M
Psychosis Genetics Research in Africa: Building Capacity by Investing in PeopleR01MH120642 · NIMH · BROAD INSTITUTE, INC. · PI AKENA, DICKENS HOWARD, CHIBNIK, LORI BETH · 2019 to 2023
$3.1M
NIMH NIH HHS R01 MH120642NIMH NIH HHS T32 MH017119NIMH NIH HHS U01 MH125045
6 · The paper itself

Abstract

backgroundPsychological distress is often used as a proxy measure for the mental health of a population. The Kessler Psychological Distress Scale (K-10) is a widely used brief screening tool for psychological distress, yet few studies have evaluated its utility in sub-Saharan Africa. We evaluated its construct validity and factor structure in Uganda.

methodsWe used data from an ongoing case-control study. Participants in the present study were patients seeking general medical outpatient services and caretakers of mentally ill persons. Demographic data were collected using a structured questionnaire, and psychological distress was assessed using the K-10. K-10 construct validity and factorial structure were assessed through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).

resultsA total of 2104 participants were included in this analysis, these were controls from a general medical setting. The mean K-10 score was 2.34 with an internal consistency of 0.86. EFA resulted in a two-factor solution that accounted for 78.37% of the variance. CFA revealed that a unidimensional model of psychological distress with correlated errors between some of K-10 items was superior, with a comparative fit index of 0.95, Tucker-Lewis index of 0.93, and a root mean square error of approximation of 0.08. LIMITATIONS: The study was limited to evaluating internal consistency and construct validity. Future studies are warranted to examine criterion validity and establish cut-offs for psychological distress.

conclusionsThe K-10 had good psychometric properties in this population and may be useful for measuring broad psychological distress in general medical settings.

Indexed as

Reproducibility of ResultsAdultCase-Control StudiesFactor Analysis, StatisticalHumansPsychometricsSurveys and QuestionnairesUgandaK-10Psychological distressPsychometric properties

Identifiers

PMID35561886
PMCPMC10131229

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.